
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "116"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 80 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 76 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.351051	8.450165	72.185192	74.324980	21.185491	26.290308	27.521308	28.022264	0.0505	0.0533	0.0001	1.849499	1.983529
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.116102	17.428052	75.176237	78.239548	29.448351	36.185909	12.867149	11.208502	0.0509	0.0505	0.0016	1.736655	1.839733
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.317630	1.202271	2.906832	2.772069	-0.374002	0.128262	-1.537012	0.415543	0.0983	0.0953	0.0022	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.595970	23.391880	87.360184	90.279768	25.897707	31.666084	1.010610	1.877345	0.0497	0.0447	0.0041	1.986775	2.045823
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.667200	25.811247	81.210214	84.227094	27.060236	33.201910	2.632854	3.537990	0.0535	0.0488	0.0035	1.466676	1.455900
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.628883	23.810611	75.555022	78.081781	16.296947	21.094805	17.857097	16.259862	0.0504	0.0496	0.0013	1.682262	1.757948
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.359953	17.511928	91.884971	95.451099	21.406558	24.372307	14.476673	13.291950	0.0494	0.0490	0.0013	1.710726	1.813593
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	23.219955	25.093113	122.684035	127.382008	39.259050	25.128719	85.227506	49.224803	nan	nan	nan	-0.000000	-0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.552820	21.614690	29.095190	29.665605	9.351728	10.908670	5.027864	6.038319	0.0477	0.0466	0.0021	1.363131	1.368446
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.880898	24.025454	7.667795	8.165309	9.325565	10.137272	0.784527	2.610476	0.0942	0.0933	0.0141	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.307067	29.477175	99.726219	103.086893	15.831440	17.869203	39.454482	38.350442	0.0435	0.0431	0.0023	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	297.707821	297.064113	inf	inf	11485.363772	11467.476505	6079.963590	6078.675761	nan	nan	nan	0.000000	0.000000
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.056925	25.111969	32.243019	32.681450	17.705105	21.757899	0.198843	0.493558	0.0506	0.0439	0.0046	1.570074	1.496139
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.350512	19.128477	32.338539	33.504788	19.552665	22.781101	-0.253276	0.185693	0.0516	0.0451	0.0046	0.994003	0.977561
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.183137	18.991401	36.624078	38.094468	22.028923	25.999171	0.979563	1.607991	0.0474	0.0422	0.0037	1.478700	1.495060
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.725525	1.358165	0.495877	0.268170	0.138051	-0.298553	0.416527	0.881297	0.0948	0.0654	0.0057	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.687891	24.417344	29.909020	30.556700	19.927741	23.785515	0.044639	0.380632	0.0475	0.0434	0.0033	1.655279	1.615186
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.201200	18.635047	23.774208	24.537832	18.254722	21.136277	0.668841	1.072685	0.0491	0.0435	0.0041	1.864082	1.719410
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.624145	18.508910	23.668764	24.471601	14.921201	16.436980	7.241602	6.334407	0.0487	0.0473	0.0013	2.179548	2.033017
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.864797	18.400493	22.711238	23.458472	15.143703	17.171259	1.743646	2.621914	0.0485	0.0444	0.0030	1.809968	1.767435
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.241827	1.070790	0.298792	0.208830	-0.036671	-0.609048	0.198676	1.025180	0.1035	0.0944	0.0107	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.347859	21.542922	30.045805	30.604954	10.727881	10.871039	8.263772	9.062179	0.0504	0.0464	0.0026	1.601779	1.552532
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.707434	17.762338	29.715517	30.438277	18.272118	21.039785	-0.418589	-0.100596	0.0414	0.0372	0.0027	1.711393	1.689626
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.497506	1.497506	1.384981	1.384981	0.646299	0.646299	0.130033	0.130033	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.559308	16.839227	31.497949	32.367973	2.121310	2.133603	0.345431	0.917893	0.0479	0.0435	0.0039	1.633632	1.699161
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.951348	19.107166	60.329105	61.845747	18.743006	21.516281	1.373984	1.988060	0.0468	0.0451	0.0021	1.390110	1.392358
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.859476	11.954226	15.488443	15.937154	2.209464	2.495139	0.431530	0.690543	0.0475	0.0421	0.0043	1.576423	1.529334
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.673498	12.738082	14.771458	15.181330	2.534311	2.731242	0.719136	1.131550	0.0511	0.0445	0.0046	1.529838	1.492543
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.491693	11.465561	15.174114	15.386428	2.092053	2.611277	0.439435	0.612385	0.0467	0.0425	0.0035	1.600991	1.560417
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.541676	14.706978	16.551350	16.880382	2.328920	2.857257	0.618445	0.920697	0.0512	0.0443	0.0048	1.500411	1.481580
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.374280	19.049735	31.055876	32.326758	20.510748	22.357807	0.919727	1.423478	0.0475	0.0431	0.0033	1.587980	1.549838
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.796469	19.388491	33.507700	34.980245	18.633308	20.283341	2.006168	3.302242	0.0502	0.0441	0.0045	1.363746	1.362999
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0477	0.0419	0.0047	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0521	0.0446	0.0056	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.609859	11.519017	18.293016	18.684772	2.920768	3.793421	0.738381	1.015782	0.0489	0.0423	0.0059	1.515085	1.467628
2459550	RF_maintenance	-	98.35%	98.35%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0919	0.0780	0.0129	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.267258	17.233285	33.959309	34.749121	19.994708	22.106960	0.661534	1.058267	0.0455	0.0404	0.0039	1.715866	1.588644
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.482289	24.726926	69.242871	70.726926	1.096408	1.980215	0.920312	1.351342	0.0459	0.0415	0.0032	1.461164	1.493107
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.950312	12.689541	35.640767	36.857490	168.193336	184.611795	7.836628	8.879279	0.0484	0.0424	0.0040	1.213503	1.202996
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.362110	17.108926	15.452235	16.127206	4.220369	5.586212	0.529322	0.816381	0.0477	0.0428	0.0036	1.285230	1.283870
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.159199	13.963476	14.384888	14.805497	2.917993	6.317725	-0.034877	0.336432	0.0532	0.0469	0.0054	1.318203	1.322777
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.890908	21.226947	31.693112	32.667721	17.261444	20.268780	0.707663	1.502390	0.0435	0.0394	0.0033	1.589934	1.521598
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.010904	25.171101	40.504547	42.138155	21.737260	25.305172	0.367791	0.790401	0.0454	0.0416	0.0030	1.367836	1.368786
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.238353	12.345735	12.819880	13.158939	3.176826	4.111480	0.269680	0.410225	0.0526	0.0467	0.0056	1.817841	1.718273
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.643314	29.147562	48.602908	49.982495	40.872249	35.545758	-0.085626	0.517893	0.0451	0.0463	0.0028	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	27.463970	24.927150	43.856518	44.277997	18.866090	30.899632	1.048628	1.231069	nan	nan	nan	1.570787	1.571907
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.658607	25.434045	43.469585	45.500219	11.158112	23.836245	0.792295	1.581346	0.0480	0.0450	0.0041	1.254701	1.246300
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.511545	1.483583	0.339496	0.390785	-0.763678	-0.724517	0.177104	1.075247	0.1165	0.1122	0.0251	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	30.416543	32.523657	43.696246	45.437133	18.403332	15.866628	12.777606	14.807078	0.0495	0.0468	0.0002	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.877636	31.483390	41.853209	45.032112	6.629186	9.353897	0.347806	1.767841	0.0476	0.0448	0.0077	1.102071	1.089919
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	30.583712	31.118427	75.433890	77.386185	34.097939	33.611240	1.998661	2.896697	0.0459	0.0443	0.0062	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.679519	25.359607	49.385666	50.893810	23.543999	22.939827	1.451156	0.977609	0.0540	0.0504	0.0042	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.195667	29.146148	60.124026	61.629864	27.242224	27.307909	0.609411	1.080875	0.0545	0.0493	0.0040	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.007496	31.236287	77.320417	79.484404	27.341601	27.644078	3.396103	11.745423	0.0562	0.0530	0.0034	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.822048	26.619379	71.857310	73.607640	24.334173	24.460894	3.670124	4.540367	0.0537	0.0508	0.0009	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.930087	30.952789	80.927027	83.048010	31.549273	31.772707	2.357597	3.502696	0.0535	0.0531	0.0022	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	31.508034	32.468132	70.932037	72.297169	28.118627	28.657701	1.447290	2.235601	0.0533	0.0495	0.0015	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.769621	25.697529	68.937828	70.308085	24.097519	25.118067	2.118681	2.920549	0.0533	0.0483	0.0029	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.499098	28.201370	70.510251	72.140912	27.170904	28.230285	5.528316	6.369213	0.0519	0.0484	0.0006	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.748188	29.045505	49.995665	51.449988	24.784777	29.809183	4.240531	6.454470	0.0496	0.0475	-0.0025	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.199170	27.979941	54.224035	56.261605	34.103850	44.547882	3.848309	12.745118	0.0505	0.0482	-0.0017	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	33.805378	32.306554	56.830744	58.316189	23.206246	27.394550	3.900899	6.574909	0.0512	0.0476	-0.0007	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.988751	28.048717	51.544756	53.180240	23.343954	29.251144	3.626324	8.185858	0.0504	0.0484	-0.0019	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.255454	26.538644	43.214739	44.276068	25.626140	31.749671	5.208610	10.327339	0.0485	0.0462	-0.0022	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 116 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 116, Node 7:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 116: 2459603

Antenna 116: 2459602

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶